Matplotlib.axes.Axes.get_xlabel() in Python

Last Updated : 19 Apr, 2020

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.get_xlabel() Function

The Axes.get_xlabel() function in axes module of matplotlib library is used to get the xlabel text string.

Syntax: Axes.get_xlabel(self) Parameters: This method does not accepts any parameters. Return: This function return the xlabel text string.

Below examples illustrate the matplotlib.axes.Axes.get_xlabel() function in matplotlib.axes: Example 1:

Python3

import matplotlib.pyplot as plt
import numpy as np
 
t = np.arange(0.01, 5.0, 0.01)
s = np.exp(-t)
 
fig, ax = plt.subplots()
 
ax.plot(t, s)
ax.set_xlim(5, 0)
ax.set_xlabel('Display X-axis Label', fontweight ='bold')
ax.grid(True)

w = ax.get_xlabel()
ax.set_xlabel("")
ax.text(3.5, 0.5, "Previously assigned X-Label : \n\n"+str(w), 
        fontsize = 12)
fig.suptitle("matplotlib.axes.Axes.get_xlabel() function \
Example\n", fontweight ="bold")
plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
 
with cbook.get_sample_data('goog.npz') as datafile:
    price_data = np.load(datafile)['price_data'].view(np.recarray)
    
# get the most recent 250 trading days
price_data = price_data[-250:]  
 
delta1 = np.diff(price_data.adj_close) / price_data.adj_close[:-1]
 
volume = (25 * price_data.volume[:-2] / price_data.volume[0])**2
close = (0.03 * price_data.close[:-2] / 0.03 * price_data.open[:-2])**2
 
fig, ax = plt.subplots()
ax.scatter(delta1[:-1], delta1[1:],
           c = close, s = volume, 
           alpha = 0.5)
 
ax.set_xlabel(r'X-axis contains $\Delta_i$ values',
              fontweight ='bold')
ax.grid(True)

w = ax.get_xlabel()
ax.set_xlabel("")
ax.set_ylabel(w)
ax.text(-0.1, 0.1, "Previously assigned X-Label is now\
Assigned to Y-Label", fontsize = 12, fontweight ="bold")

fig.suptitle("matplotlib.axes.Axes.get_xlabel() \
function Example\n", fontweight ="bold")
plt.show()